气候变化领域集成服务门户(CCPortal): Modelling of early winter snow density using fully polarimetric C-band SAR data in the Indian Himalayas

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DOI	10.1016/j.rse.2020.111699
	Modelling of early winter snow density using fully polarimetric C-band SAR data in the Indian Himalayas
	Varade D.; Manickam S.; Dikshit O.; Singh G.; Snehmani
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	The seasonal snow cover contributes significantly to the water resource in the Indian Himalayas, and snow density is one of the vital parameters in the determination of the hydrological potential of snow. The application of conventional methods for snow density retrieval using fully polarimetric SAR data is constrained by the properties of snow primarily due to the melt and frost cycles, as compared to fresh dry snow. The surface component of backscatter is significant in case of melt and frost. In the conventional decomposition based methods, the surface component is not considered for the inversion of permittivity, as proposed in this study. In this paper, we also propose a methodology for the estimation of snow density using bi-temporal fully polarimetric C-band RADARSAT-2 synthetic aperture radar (SAR) data. We utilize the relation between the differential modified Mueller matrix components, the attenuation constants, and the Fresnel transmission coefficients. The permittivity of snow is derived using the inversion of the Fresnel transmission coefficients which is used to determine the snow density using a state of the art empirical relation. The snow density estimates from the proposed method are compared with other methods based on coherency matrix decomposition and evaluated against in-situ measurements collected during a field campaign carried out in Dhundi in the state of Himachal Pradesh in India. The snow density estimates using the proposed method are observed to correlate with the in-situ measurements and were also found to be better than the decomposition based methods. © 2020 Elsevier Inc.
英文关键词	Fresnel transmission coefficients; Himalayas; Permittivity; Polarimetric decomposition; Polarimetry; Snow; Snow density
语种	英语
scopus关键词	Matrix algebra; Permittivity; Polarimeters; Snowfall measurement; Synthetic aperture radar; Transmissions; Water resources; Attenuation constants; Conventional methods; Empirical relations; Fresnel transmission; Fully polarimetric SAR; Himalayas; Polarimetric decomposition; Snow density; Snow; backscatter; decomposition analysis; matrix; RADARSAT; snow cover; synthetic aperture radar; winter; Himachal Pradesh; Himalayas; India
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179405
作者单位	National Centre for Geodesy, Indian Institute of Technology Kanpur, Kanpur, 208016, India; Department of Civil and Environmental Engineering, Duke University, Durham, NC-27708-028, United States; Centre for Studies in Resource Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India; Snow and Avalanche Study Establishment, Defence Research and Development Organization, Government of India, Chandigarh, 160036, India
推荐引用方式 GB/T 7714	Varade D.,Manickam S.,Dikshit O.,et al. Modelling of early winter snow density using fully polarimetric C-band SAR data in the Indian Himalayas[J],2020,240.
APA	Varade D.,Manickam S.,Dikshit O.,Singh G.,&Snehmani.(2020).Modelling of early winter snow density using fully polarimetric C-band SAR data in the Indian Himalayas.Remote Sensing of Environment,240.
MLA	Varade D.,et al."Modelling of early winter snow density using fully polarimetric C-band SAR data in the Indian Himalayas".Remote Sensing of Environment 240(2020).